Sustainable trading and what next

Congratulations – you have finished the academy's hardest course. You can read the market context, build a strategy from rules, test it so that it does not fool you and manage the risk of the whole account. That is more than most people who trade ever do.

What to take away from the course#

• Context: the market switches between regimes, cryptocurrencies move together and volatility changes – measure it with ATR.
• Strategy: idea → hypothesis → precise rules. Stop-loss and position size based on volatility.
• Testing: a backtest has traps; what decides is out-of-sample testing, walk-forward and a forward test. An honest result tends to be boring.
• Risk: correlated positions are one bet, risk only a fraction of the Kelly number and have drawdown rules.
• Habits: a regular review, decisions by the number of trades, not by feeling.

Does it pay off?#

An honest question few people ask. Example: an account of 4,000 €, a very decent annual profit of 10%, so 400 €. The strategy takes 5 hours a week – watching, trades, journal, review. That is about 260 hours a year, so roughly 1.50 € an hour.

And you know from the testing module that even a good strategy did roughly as well as simply holding out of sample – just with smaller drawdowns. Trading makes sense when you enjoy it, when you want to learn and when you do it with money you can afford to lose. As a quick road to wealth, it does not work.

Habits for years#

• The crypto market never sleeps, you do. Set price alerts instead of watching the chart. Overnight and on holiday, no open positions without a stop-loss.
• A fixed time for trading. Say an hour in the evening and a review once a month. Outside that time, the exchange app stays closed.
• Breaks are part of the plan. After hitting a loss limit, when ill, under stress or after a big win.
• Records for taxes. Crypto gains are usually taxed, and from 2026 crypto service providers in the EU collect data on their clients' transactions for tax authorities under the DAC8 directive (first reports in 2027). Keep track of every trade and check the rules with a tax advisor.

What to learn next#

• Programming backtests. A spreadsheet is enough to start; a Python script tests hundreds of variants and does not forget fees. Just remember that more variants mean more chances to overfit.
• Statistics. Probability, variance, sample size – the most useful "indicators" there are.
• Your own data. Many exchanges offer public historical data for free – the charts in this course are built on it too.
• Healthy scepticism. Towards every strategy that looks too good – including your own.

More academy courses are on the way. Until then, you can go over the terms in the glossary any time.